Thesis
Assessment of obstetric ultrasound images using machine learning
- Abstract:
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Ultrasound-based fetal biometry is used to derive important clinical information for identifying IUGR (intra-uterine growth restriction) and managing risk in pregnancy. Accurate and reproducible biometric measurement relies heavily on a good standard image plane. However, qualitative visual assessment, which includes the visual identification of certain anatomical landmarks in the image is prone to inter- and intra-reviewer variability and is also time-consuming to perform. Automated anato...
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- Files:
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(Preview, Dissemination version, bin, 7.5MB, Terms of use)
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Authors
Contributors
+ Noble, J
- Division:
- MPLS
- Department:
- Engineering Science
- Role:
- Supervisor
+ Papageorghiou, A
- Division:
- MPLS
- Department:
- Engineering Science
- Role:
- Supervisor
+ Ministry of Higher Education Malaysia
More from this funder
- Funding agency for:
- Rahmatullah, B
- Grant:
- SLAB/770826085356
- Publication date:
- 2012
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
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English
- Keywords:
- Subjects:
- UUID:
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uuid:8f8f1796-7c25-43b9-bb14-d8cdc28f6ca2
- Local pid:
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ora:8757
- Deposit date:
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2014-07-11
- ARK identifier:
Terms of use
- Copyright holder:
- Rahmatullah, B
- Copyright date:
- 2013
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